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Jul 31, 2023

Safe and just Earth system boundaries

Nature (2023)Cite this

Nature (2023)Cite this article

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The stability and resilience of the Earth system and human well-being are inseparably linked1,2,3, yet their interdependencies are generally under-recognized; consequently, they are often treated independently4,5. Here, we use modelling and literature assessment to quantify safe and just Earth system boundaries (ESBs) for climate, the biosphere, water and nutrient cycles, and aerosols at global and subglobal scales. We propose ESBs for maintaining the resilience and stability of the Earth system (safe ESBs) and minimizing exposure to significant harm to humans from Earth system change (a necessary but not sufficient condition for justice)4. The stricter of the safe or just boundaries sets the integrated safe and just ESB. Our findings show that justice considerations constrain the integrated ESBs more than safety considerations for climate and atmospheric aerosol loading. Seven of eight globally quantified safe and just ESBs and at least two regional safe and just ESBs in over half of global land area are already exceeded. We propose that our assessment provides a quantitative foundation for safeguarding the global commons for all people now and into the future.

Humanity is well into the Anthropocene6, the proposed new geological epoch where human pressures have put the Earth system on a trajectory moving rapidly away from the stable Holocene state of the past 12,000 years, which is the only state of the Earth system we have evidence of being able to support the world as we know it7,8. These rapid changes to the Earth system undermine critical life-support systems1,9,10, with significant societal impacts already felt1,3, and they could lead to triggering tipping points that irreversibly destabilize the Earth system7,11,12. These changes are mostly driven by social and economic systems run on unsustainable resource extraction and consumption. Contributions to Earth system change and the consequences of its impacts vary greatly among social groups and countries. Given these interdependencies between inclusive human development and a stable and resilient Earth system1,2,3,13, an assessment of safe and just boundaries is required that accounts for Earth system resilience and human well-being in an integrated framework4,5.

We propose a set of safe and just Earth system boundaries (ESBs) for climate, the biosphere, fresh water, nutrients and air pollution at global and subglobal scales. These domains were chosen for the following reasons. They span the major components of the Earth system (atmosphere, hydrosphere, geosphere, biosphere and cryosphere) and their interlinked processes (carbon, water and nutrient cycles), the ‘global commons’14 that underpin the planet's life-support systems and, thereby, human well-being on Earth; they have impacts on policy-relevant timescales; they are threatened by human activities; and they could affect Earth system stability and future development globally. Our proposed ESBs are based on existing scholarship, expert judgement and widely shared norms, such as Agenda 2030. They are meant as a transparent proposal for further debate and refinement by scholars and wider society.

First, we identify ‘safe’ boundaries at subglobal and global scales for "maintain[ing] and enhanc[ing] the stability and resilience of the Earth system over time, thereby safeguarding its functions and ability to support humans and all other living organisms"4. To determine safe boundaries, we use assessments of tipping point risks among local and regional tipping elements, evidence on declines in Earth system functions, analyses of historical variability and expert judgement. We assess the uncertainty in and confidence of these ESBs. Tipping elements are those components or processes that regulate the functioning and state of the planet and that show evidence of having thresholds at which small additional perturbations can trigger self-reinforcing changes that undermine Earth system resilience15,16. We do not exclusively rely on tipping points for setting safe ESBs, however, and the ESBs should not be interpreted as representing tipping points. As a reference state for human life support on Earth, we use an interglacial Holocene-like Earth system functioning dominated by balancing feedbacks that cope with, buffer and dampen disturbances. Methods and Supplementary Information have details on how safe boundaries are determined.

Second, we use three criteria to assess whether adhering to the safe ESBs could protect people from significant harm (Box 1): ‘interspecies justice and Earth system stability’ (I1)17; ‘intergenerational justice’18 between past and present generations (I2a) and present and future generations (I2b); and ‘intragenerational justice’ (I3) between countries19, communities and individuals through an intersectional lens20. These criteria sit within a wider Earth system justice framework that goes beyond planetary and issue-related justice to take a multi-level transformative justice approach focusing on ends (boundaries and access levels) and means21,22. Methods and Supplementary Information have more detailed discussions of the justice approach applied in this paper. We define harm as negative impacts on humans, communities and countries from Earth system change in addition to background rates. The most recent Intergovernmental Panel on Climate Change (IPCC) report identifies ‘severe’ risks and ‘high’ reasons for concern when tens to hundreds of millions of people are exposed to changes in climate, such as increases in temperature and extreme events23. In this paper, we define significant harm as widespread severe existential or irreversible negative impacts on countries, communities and individuals from Earth system change, such as loss of lives, livelihoods or incomes; displacement; loss of food, water or nutritional security; and chronic disease, injury or malnutrition (a glossary is in the Supplementary Methods).

Third, we combine these justice criteria with historical analyses, international health standards, Earth system modelling and expert judgement to quantify safe and just ESBs that minimize human exposure to significant harm (no significant harm (NSH)) from Earth system change. Minimizing significant harm is a cornerstone of national and international law and corrective justice24,25. We focus on assessing the levels of Earth system change leading to widespread exposure to significant harm, which will lead to greater impacts when vulnerable populations are exposed3. Methods and Supplementary Information have details on how just boundaries are determined. The just (NSH) boundaries described here are necessary but not sufficient conditions for Earth system justice, which must also enable access to resources for all26 and distributional and procedural fairness22. A foundation that enables minimum access to water, food, energy and infrastructure for all humans alongside a safe and just (NSH) ESB ceiling of maximum allowed human pressure on biophysical domains could constitute a safe and just ‘corridor’ over time4,22 (Fig. 1).

Visualization of safe ESBs (dark red), just (NSH) ESBs (blue), cases where safe and just (NSH) boundaries align (green) and current global states (Earth icons). Radial axes are normalized to safe ESBs. Headline or central estimate global boundaries (Table 1) are plotted to support comparison with the current global state, but we emphasize that we have also defined subglobal boundaries and multiple likelihood levels for many domains (Table 1). For aerosols, however, we display the subglobal boundaries to compare safe and just boundaries. For nitrogen, we plot with a dashed blue line the boundary quantification for harm from nitrate in groundwater while noting that the just boundary must also incorporate safe considerations via eutrophication, leading to a more stringent safe and just boundary. Minimum access to water, food, energy and infrastructure for all humans (dotted green line) could constitute the foundation of a safe and just ‘corridor’ (green filled area), but we do not quantify this foundation here. Alternative visualizations are presented in Extended Data Fig. 1.

Our assessment builds upon and advances beyond previous research and science-based political consensus, such as the Planetary Boundaries (PBs) framework27, doughnut economics28 and the Sustainable Development Goals29 in the following ways. (1) We define just ESBs for avoiding significant harm using the same units as the safe ESBs for the same domains and propose that actors use the stricter of the safe and just boundaries to inform target setting. The PBs identify only safe biophysical boundaries. The social goals related to access to or harm from natural resources adopted in Agenda 2030, doughnut economics and other approaches28,30,31,32 are not quantified in comparable units or examine only the consequences of human activities on the Earth system, not harm to humans from Earth system change. Articulating sociopolitical notions, such as Earth system justice, and converting their implications into biophysical units can enable a better understanding of the space within which humans can function. (2) We define global and subglobal ESBs in most domains. The PBs’ emphasis on the global scale can be inappropriate for the assessment and management of domains such as the biosphere33 and fresh water34,35,36,37. (3) We set boundaries at multiple likelihood levels for Earth system states. (4) Tipping element assessments in climate, biosphere and other Earth system domains are key, although not exclusive, evidence for our ESBs. Recent PB assessments instead emphasize risks related to the departure from Holocene ranges of Earth system variability38.

Further explanation is in Gupta et al.22. Discussion of the caveats related to the justice approach applied in this paper is in Methods and Supplementary Information.

Interspecies justice and Earth system stability (I1)

Interspecies justice aims to protect humans, other species and ecosystems, rejecting human exceptionalism. In many domains, interspecies justice could be achieved by maintaining Earth system stability within safe ESBs.

Intergenerational justice (I2a and I2b)

Intergenerational justice examines relationships and obligations between generations, such as the legacy of greenhouse gas emissions or ecosystem destruction for youth and future people. Achieving intergenerational justice requires recognizing the potential long-term consequences of short-term actions and associated trade-offs and synergies across time. We define two types of intergenerational justice: (between past and present; I2a) whether actions of past generations have minimized significant harm to current generations and (between present and future; I2b) the responsibility of current generations to minimize significant harm to future generations.

Intragenerational justice: between countries, communities and individuals (I3)

Intragenerational justice includes relationships between present individuals, between states (international), among people of different states (global) and between community members or citizens (communitarian or nationalist). Intersectional justice considers multiple and overlapping social identities and categories (for example, gender, race, age, class and health) that underpin inequality, vulnerability and the capacity to respond. Achieving intragenerational justice means minimizing significant harm caused by one country to another, one community to another and one individual to another.

For each Earth system domain, we first quantify safe boundaries for maintaining Earth system resilience, with multiple levels of likelihood reflecting uncertainty or variability in the exact position of the boundary. Adhering to these safe boundaries implements our ‘interspecies justice and Earth system stability’ criterion (I1 in Box 1) and will safeguard future generations against significant harm from Earth system change (intergenerational justice; I2b in Box 1), but it may not avoid significant harm to current generations, particularly vulnerable populations (I2a and I3 in Box 1). Hence, (1) we propose that some boundaries be made more stringent to protect present generations and ecosystems; (2) we complement safe boundaries with local-level standards to protect present generations and ecosystems; and (3) if the boundary is likely to cause considerable difficulties for present generations, we propose that it is complemented with policies that account for distributive justice. We also assess the current state of the Earth system with respect to each safe and just ESB.

We identify safe ESBs for warming (Fig. 1 and Table 1) based on minimizing likelihoods of triggering climate tipping elements; maintaining biosphere and cryosphere functions; and accounting for Holocene (<0.5–1.0 °C) and previous interglacial (<1.5–2 °C) climate variability (Supplementary Methods). Some climate tipping points, such as circulation collapse or Amazon dieback, have high uncertainty or low confidence in their dynamics and potential warming thresholds16, but the complementary palaeoclimate and biosphere analyses independently support the safe climate ESB assessment. Cryosphere function includes maintaining permafrost in the northern high latitudes, permanent polar ice sheets and mountain glaciers and minimizing sea ice loss. We find that global warming beyond 1.0 °C above pre-industrial levels, which has already been exceeded9, carries a moderate likelihood of triggering tipping elements, such as the collapse of the Greenland ice sheet or localized abrupt thawing of the boreal permafrost16. One-degree Celsius global warming is consistent with the safe limit proposed in 199039 and the PB of 350 ppm CO2(ref. 27). Above 1.5 °C or 2.0 °C warming, the likelihood of triggering tipping points increases to high or very high, respectively (high confidence in Extended Data Table 1). Biosphere damage and the risk of global carbon sinks becoming carbon sources, potentially triggering further climate feedbacks, increase substantially40. We conclude that stabilizing at or below a safe ESB of 1.5 °C warming avoids the most severe climate impacts on humans and other species, reinforcing the 1.5 °C guardrail set in the Paris Agreement on Climate Change.

Assessment of significant harm from climate change suggests the need for a stricter just (NSH) boundary. At 1.0 °C global warming, tens of millions of people were exposed to wet bulb temperature extremes (Fig. 2), raising concerns of inter- and intragenerational justice. At 1.5 °C warming, more than 200 million people, disproportionately those already vulnerable, poor and marginalized (intragenerational injustice), could be exposed to unprecedented mean annual temperatures41, and more than 500 million could be exposed to long-term sea-level rise (Fig. 2 and Methods). These numbers of people harmed vastly exceed the widely accepted ‘leave no one behind’ principle29 and undermine most of the Sustainable Development Goals. Moreover, past emissions have already led to significant harm, including extreme weather events, loss of habitat by Indigenous communities in the Arctic, loss of land area by low-lying states and sea-level rise or reduced groundwater recharge from changing glacial melt systems3. Irreversible impacts from cryosphere and biosphere tipping elements that are committed by anthropogenic greenhouse gas emissions in the coming decades but which unfold over centuries or millennia also threaten intergenerational justice (Supplementary Methods). We conclude that if exposure of tens of millions of people to significant harm is to be avoided, the just (NSH) boundary should be set at or below 1.0 °C. Since returning within this boundary may not be achievable in the foreseeable future, adaptations and compensations to reduce sensitivity to harm and vulnerability will be necessary. During the 2022 United Nations Climate Change Conference (COP-27), developing countries indeed focused actively on issues of adaptation, loss and damage.

We examine the exposure of the 2010 global population to mean annual temperatures above 29 °C (purple; linear fit, P < 0.01), wet bulb temperatures of 35 °C for an average of at least 1 day per year (orange; quadratic fit, P < 0.01) and future sea-level rise (blue; linear interpolation). Sea-level rise is calculated for 2100 (blue solid) and multi-centennial (blue dashed; linear interpolation) responses to a given temperature stabilization by 2100, representing near-term impacts and long-term equilibria, respectively. The inset shows the magnification of wet bulb temperature in the range 1–2 °C. Shading indicates one s.e.

Source Data

For the biosphere, we identify safe ESBs for two complementary measures of biodiversity: (1) the area of largely intact natural ecosystems and (2) the functional integrity of all ecosystems, including urban and agricultural ecosystems (Table 1). Maintaining areas of largely intact natural ecosystems is necessary for securing the Earth system functions on which all humans, other species (I1 in Box 1) and Earth system stability depend, including stocks and flows of carbon, water and nutrients and halting species extinction (Earth system nature's contribution to people (NCP) via Earth system functions). Based on climate, water and species conservation model outcomes, we propose a safe ESB of 50–60% (medium confidence in Extended Data Table 1) of global land surface covered by largely intact natural areas to maintain Earth system NCP (Table 1 and Supplementary Methods). This range uses the current area of natural land cover as a minimum value while indicating the need to restore largely intact natural areas. The exact safe boundary depends strongly on the demand for specific ecological functions (which in turn depend, for example, on the remaining carbon emissions to be sequestered) and on the spatial distribution of the largely intact natural area across ecoregions and ecosystems. Studies generally indicate that up to 60% of the terrestrial earth surface area may be needed, with some extending up to 80% (Supplementary Methods). Natural ecosystem areas comparable with the 50–60% terrestrial ESB are needed in the ocean to maintain carbon sequestration and minimize additional marine species extinction42. Biome-scale boundaries may be more stringent: for example, to protect tropical forest biomes due to their contribution to climate stability and moisture recycling. If allocation and coordination of restoration efforts are less than optimal, the required minimum area will be larger. If these boundaries are transgressed, tipping points involving loss of biome-scale functional integrity and associated NCP may be triggered, including increases in species extinction rates.

Adherence to our proposed safe ESB for the area of largely intact natural ecosystems should minimize harm to future generations (I2b in Box 1) by securing biosphere contributions to all life support through a stable and resilient Earth system and localized NCP provided by largely intact nature. However, achieving justice for current generations (I2a and I3 in Box 1) may require a stricter boundary because the safe ESB does not account for the current uneven distribution of largely intact natural ecosystems needed to support local livelihoods43, especially in poor or Indigenous communities44,45. Some people and countries may directly benefit from policies to maintain or increase natural ecosystem area46, while others may face opportunity costs47. Hence, to ensure just distribution of largely intact natural ecosystems, a just (NSH) boundary may need to be set at the upper end of the 50–60% safe range, as allocation will be less than optimal for achieving the functions the lower boundary was optimized for. We emphasize that natural ecosystem area includes all largely intact natural areas and not only those currently requiring conservation attention; it does not imply protection that excludes human habitation and sustainable use.

Functional integrity is the capacity of urban, agricultural or other human-modified ecosystems to provide ecological functions and their contributions to people at landscape scale, complementing the Earth system NCP provided by large-scale intact natural ecosystem areas. We analyse what minimum amount, quality and distance of natural habitat and seminatural habitat are needed to maintain local terrestrial NCP provision, including pollination, pest and disease control, water quality regulation, soil protection, natural hazards mitigation and recreation. We identify that at least 20–25% diverse seminatural habitat including native species in each square kilometre in human-modified lands is needed to support the provisioning of multiple local NCP48. The exact amount and quality required differ based on landscape type, climate and topography; the amount can range up to 50% in some landscapes vulnerable to natural hazards, such as steep slopes or highly erodible soils. This boundary applies to fine scales, currently proposed as 1 km2, because NCP are not transferable (for example, erosion or landslide can only be avoided by natural cover on the same slope) and are often provided or supported by non-mobile or limited mobility species (for example, foraging ranges of pollinating or pest-regulating insects are limited to a few hundred metres). About two thirds of human-dominated land area (approximately 40% of total land area) has insufficient functional integrity (Supplementary Methods), and large areas are showing symptoms of resilience loss49, requiring regenerative practices to restore local and Earth system functions.

The safe boundary for functional integrity reduces future exposure to significant harm (intergenerational justice). Loss of functional integrity in agricultural ecosystems and cities below the safe boundary would reduce food productivity, ecosystem capacity to mitigate natural hazards, pollution and nutrient losses and increase reliance on harmful pesticides and biocides and capacity to choose alternate land uses (intragenerational justice). The dependence on these services is often higher in regions with more vulnerable communities. Specific interventions that secure functional integrity are highly local and are best implemented under local authority, knowledge and leadership50, with policy interventions often needed to ensure that marginalized groups are not further disempowered but are given the space to use their knowledge and approaches to participate in such processes51.

For fresh water, we propose two spatially defined safe ESBs based on subglobal boundaries that can be aggregated to the global scale: (1) a flow alteration ESB for surface water and (2) a drawdown ESB for groundwater (Table 1). Flow alteration in rivers is one of the key drivers of freshwater biodiversity loss52, leading to declines in freshwater biodiversity that outpace those of terrestrial and marine systems53 and in large-scale NCP, such as coastal and inland fisheries, on which millions of people depend54,55. Local-scale flow-ecology analyses are often used to establish environmental flow needs to define safe levels of flow alteration for individual watersheds56. These local-scale assessments could provide the basis for spatially explicit safe boundaries but are absent across most of the world57. In their absence, we propose that a presumptive subglobal safe ESB of 20% alteration (increase or decrease) of monthly surface water flows compared with the prevailing natural flow regime be met in all rivers globally (medium confidence in Extended Data Table 1). This ESB leaves 80% of flows unaltered to meet environmental needs58,59, assuming that required water quality standards are also met. The ESB is supported by empirical studies showing that flow alterations within 20% support native fish species and flow alteration beyond this level strongly affects biodiversity and ecosystem structure and function60,61 (Supplementary Methods has additional references supporting the use of this threshold). The global ESB for surface water is that 100% of all land area meets the subglobal boundary by limiting alterations of flows by 20% in all rivers in the world. Meeting the global ESB sums to a global alteration budget of 7,630 km3 per year (Supplementary Methods; with high confidence in Extended Data Table 1). Globally aggregated river flow alterations are currently less than this figure; however, we are outside the global ESB because the subglobal safe ESB is only met for 66% of land area (Table 1) and less than half of the global population (Supplementary Methods). These results are consistent with recent analyses of water scarcity, which highlight the challenge of meeting environmental flow requirements to support ecosystem services, such as fisheries production, while ensuring there is sufficient water for human needs57,62.

Groundwater aquifers contribute to base flows in many river systems and directly sustain wetlands and terrestrial vegetation. Unsafe levels of groundwater extraction occur when drawdown exceeds replenishment rates, impacting groundwater-dependent ecosystems and in some instances, leading to land subsidence and irreversible aquifer loss12,63,64. Given the temporal nature of groundwater recharge and discharge and a lack of widespread consistent data on historical aquifer levels, we propose that the safe ESB for annual groundwater drawdown for all aquifers be the average annual recharge, with groundwater considered safe if drawdown is less than recharge. The subglobal safe ESB is met for a given aquifer when local drawdown does not exceed average annual recharge. The global ESB for groundwater is that the subglobal ESB is met for all aquifers around the world. For the 2003–2016 period, the global sum of average annual recharge is approximately 16,000 km3 per year (Table 1 and Supplementary Methods; with high confidence in Extended Data Table 1). The groundwater extraction that may safely occur within this boundary naturally varies across the planet and, where possible, should be defined based on local-scale monitoring, although broad trends can also be determined via satellite remote sensing65. We estimate that we are currently outside the global ESB because groundwater levels in 47% of basins are currently in decline (Table 1).

Our justice analysis of the safe ESBs for surface and groundwater highlights the challenges of (1) multi-level distribution, (2) water insecurity and (3) water quality. The regional surface and groundwater ESBs are generally in the long-term interests of surrounding communities, as they conserve future fresh water (intergenerational justice: I2b in Box 1). Where depleted aquifers have already caused significant environmental impacts66, groundwater extraction should urgently be reduced, and recharge areas should be protected to restore aquifers to safe levels (NSH to present generations: I2a and I3 in Box 1). Minimizing significant harm to current generations also requires the following. (1) Accounting for multi-level distribution indicates the allocation of allowed alterations between communities, sectors or nations sharing the water body, whether directly or indirectly via virtual water. This allocation is particularly challenging where the safe ESB requires drastic reductions in water use. (2) Minimizing exposure to significant harm should account for water insecurity in different regions of the world. For example, harm associated with poor water sanitation and hygiene conditions disproportionately impacts the health of young children in low-income countries67, particularly in Sub-Saharan Africa and South Asia68. (3) Minimizing exposure to significant harm implies addressing surface water quality guidelines for human use69, not just an allocation of water quantity. At a minimum, water needs to be safe for consumption and irrigation, meaning that acceptable standards for faecal coliforms and salinity must be met. We align our just (NSH) ESBs for water with the safe ESBs while noting that adhering to the boundaries would considerably restrict current use and will require policies to ensure distributive justice.

These proposed surface and groundwater ESBs are independent of green water stocks. Green water stocks are critical for maintaining the atmospheric water cycle, which regulates seasonal precipitation levels34; can support a significant proportion of global agricultural production70 with less impact on aquatic ecosystems than blue water use71; and are closely related to the biosphere ESBs. A recent assessment38 proposed a spatially explicit green water boundary to ensure hydrological regulation of terrestrial ecosystems, climate and biogeochemical processes by defining a maximum allowed deviation (drying or wetting) of soil moisture levels from mid-Holocene conditions. The state variable for green water is defined as the percentage of ice-free land area that in any month has root-zone soil moisture levels outside the 95th percentile of the local baseline variability. The boundary value is set at 10%, corresponding to the median departure level from mid-Holocene conditions. We include this green water boundary in our set of safe ESBs (Table 1), but we limit our inter- and intragenerational justice analysis (I2 and I3 in Box 1) to surface and ground blue water.

We set safe ESBs for agricultural nitrogen (N) and phosphorus (P) surpluses for minimizing eutrophication of surface water and terrestrial ecosystems due to runoff, leaching and atmospheric N deposition via ammonia and nitrogen oxide emissions (Table 1). We propose safe global-scale ESBs of 61 (35–84) Tg N per year for agricultural nitrogen surplus72 and 4.5–9.0 Tg P per year for cropland soil phosphorus surplus73,74 (medium confidence in Extended Data Table 1). These ESBs are based on recent papers72,74 calculating subglobal and global agricultural nutrient losses, surpluses and inputs from critical N and P concentrations in water and air beyond which eutrophication occurs (Methods, Table 1 and Supplementary Methods). These ESBs primarily relate to agriculture, which accounts for approximately 90% of anthropogenic N/P inputs to the Earth system72,75. Our ESBs are based on agricultural surpluses and losses72,74, although for comparison with previous PB quantifications (Supplementary Methods), we also provide corresponding global inputs assuming current N/P use efficiency. These recent studies also account for non-agricultural sources, assuming they remain at current levels, and the redistribution of nutrients from over-fertilized to under-fertilized regions (Supplementary Methods).

Elevated N and P concentrations cause harm through the consequences of eutrophication on ecosystems and their services, such as fishery collapse, toxic compounds released by algal blooms72,76 and the health impacts of air pollution from ammonia-derived aerosols77. Harm can also occur from drinking surface or groundwater with elevated nitrate concentrations78 but at a higher level than the safe N concentration for surface water eutrophication. We therefore align the just (NSH) ESBs for subglobal N and subglobal and global P with their safe boundaries, as human harm from nutrient cycle disruption is primarily driven by environmental degradation. Accounting for significant harm from groundwater nitrate tightens the global N boundary slightly to 57 (34–74) Tg N per year (Supplementary Methods). These ESBs should be complemented by standards for local air and water pollution for N and water pollution for P. Additional justice considerations include lack of access to N and P fertilizers, which can threaten food security especially for low-income communities and countries76, and extraction of phosphate rock, which is a limited resource currently underpinning food production but exposes poor and marginalized communities to mining waste, destroyed land and human rights abuses76,79.

For aerosols, we propose a safe ESB defined by the interhemispheric difference in aerosol optical depth (AOD) (Table 1) based on evidence that a rising North/South Hemisphere difference can trigger regional-scale tipping points and cause substantial adverse effects on regional hydrological cycles, in addition to the existing PB of 0.25–0.50 AOD based on regional considerations27. We consider AOD differences and their potential impacts arising from natural emissions, anthropogenic emissions and stratospheric aerosol injection (solar geoengineering). Observational data for the West African monsoon rainfall80 and climate modelling studies for the Indian monsoon81 have identified potential shifts in the location of the Intertropical Convergence Zone triggered by differences in sulfate AOD between the Northern and Southern Hemispheres81. Observational studies on the impacts of interhemispheric AOD difference on the Indian monsoon are lacking, but observations based on past volcanic eruptions and climate modelling studies show that an increased concentration of reflecting aerosols in one hemisphere leads to precipitation decreasing in the same hemisphere's tropical monsoon regions while increasing in the opposite hemisphere80,82,83. Observed changes in the South Asian monsoon have well-understood mechanisms (Supplementary Information) that are consistent with the effects of interhemispheric AOD difference84. The volcanic eruptions of El Chichon in the 1980s (AOD difference of 0.07) and Katmai (AOD difference of 0.08) provide empirical examples80, while model-simulated AOD differences of 0.1 and approximately 0.2 lead to declining precipitation in tropical monsoon regions85. Interhemispheric AOD difference and its impact on shifts in tropical precipitation are sensitive to the aerosol particle size and the latitudinal and altitudinal distribution of reflecting aerosols86. Considering this and the range of these studies (approximately 0.05–0.20 of additional AOD difference), we assess that these shifts may become disruptive if the interhemispheric AOD difference, currently approximately 0.0587 on average and approximately 0.1 in the boreal spring and summer87, exceeds 0.15 (low confidence in Extended Data Table 1) due to air pollution85 or geoengineering-related aerosol asymmetries81,85 (Supplementary Methods).

Significant harm to human health from exposure to aerosols, such as particulate matter (PM), suggests a more stringent just (NSH) boundary based on local air pollution standards88. PM and other aerosols are associated with respiratory illnesses and premature deaths as well as heart problems and debilitating asthma89. We select a just (NSH) boundary of 15 μg per m3 mean annual exposure to PM2.5 to avoid a high likelihood of significant harm from aerosols (Table 1 and Supporting Information) based on World Health Organization 202188 guidelines (Table 1) and European Union and US Environmental Protection Agency air quality standards90,91. Such local and regional guidance is needed because PM2.5 characteristics, such as toxicity, are highly place and source specific. Eighty-five percent of the world population is currently exposed to PM2.5 concentrations beyond this boundary92, and exposure to ambient PM2.5 is estimated to cause 4.2 million deaths annually89, with vulnerable groups being affected disproportionately more while polluting less93. Air pollution scenarios based on globally successful stringent mitigation and pollution control show reductions in affected populations, but areas of high air pollution might remain94. A 15 μg per m3 PM2.5 concentration translates95,96 to an AOD of approximately 0.17, indicating that the just (NSH) boundary for aerosols is more stringent than the safe regional boundary (0.25–0.50) (Table 1).

We acknowledge the risks to Earth system stability and human well-being from other air and water pollutants, for which there are already well-accepted guidelines88, and the emerging threats from novel entities, new forms of existing substances and modified life forms that are geologically or evolutionarily novel and could have large-scale unwanted geophysical or biological impacts on the Earth system27,97. Evidence on the diverse risk potentials of novel entities, such as microplastics, ‘forever chemicals’, antibiotics, radioactive waste, heavy metals or other emerging contaminants, for Earth system function and human health and food security is increasing, but knowledge gaps on the scale and scope of potential impacts remain98. Persson et al.97 reported that humanity has crossed the PB for novel entities, although data limitations and quantification are challenging even for the known novel entities. The differentiated impacts of novel entities already witnessed today across different populations and the long lifetimes of these substances raise clear intragenerational and intergenerational justice concerns97,98.

Seven of the eight global-scale safe and just ESBs that we quantified have already been crossed (Fig. 1 and Table 1). Transgression of ESBs is spatially widespread, with two or more safe and just ESBs transgressed for 52% of the world's land surface, affecting 86% of the global population (Fig. 3). Some communities experience many ESB transgressions, with four or more ESBs transgressed for 28% of global population but only 5% of global land surface (Fig. 3). Spatial hotspot transgressions are therefore concentrated in regions of higher population density, raising major intragenerational justice concerns.

The number of subglobal climate (two local exposure boundaries), functional integrity, surface water, groundwater, nitrogen, phosphorus and aerosol safe and just ESBs currently transgressed by location. No more than seven of these eight metrics have their ESBs transgressed in any one pixel. Since climate is a globally defined ESB, we use wet bulb temperatures of over 35 °C for at least 1 day per year and low-elevation coastal zones (<5 m) exposed to sea-level rise as proxies for local climate transgression while acknowledging that the impacts of climate change are far more diverse. We also emphasize that exposure of a location does not necessarily imply responsibility for causing or addressing these environmental impacts. We invite the reader to investigate the consequences of different boundary values using the code in the code availability information.

We defined and quantified safe and just (NSH) ESBs for sustaining the global commons that regulate the state of the planet, protect other species, generate NCP, reduce significant harm to humans and support inclusive human development (Fig. 1 and Table 1). Because exceeding safe boundaries results in widespread significant harm, our just and safe ESBs align for surface water, groundwater, functional integrity, natural ecosystem area, phosphorus and nitrogen. Meeting these boundaries without transformation, however, could significantly harm current generations. In two cases, aerosols and climate, the just boundaries are more stringent than the safe boundaries, which indicates that people experience significant harm before that Earth system domain is destabilized.

We identified subglobal ESBs, which, in many domains, are the relevant scale for action to avoid loss of Earth system stability and minimize exposure to significant harm, and global ESBs, which are reference points for monitoring human impacts at the Earth system scale. Nations, cities, businesses and other key actors need to set and achieve science-based targets for reducing their environmental impacts based on translation of the safe and just ESBs to actor fair shares99. Climate is the only ESB that has a relatively well-established and implemented methodology100,101, with methodologies for other domains under development101,102. We emphasize that our ESBs complement, not over-ride, environmental restrictions for specific local settings: for example, stricter biosphere boundaries for carbon-dense ecosystems or targeted conservation efforts for protecting endangered or emblematic species. We also acknowledge that other actors may choose to implement targets based on other likelihood levels than those we have highlighted (Fig. 1 and Table 1): for example, a lower risk tolerance than the high risk of passing tipping points associated with a 1.5 °C safe boundary.

We offer our ESBs as an integration of social and natural sciences for further refinement, in the spirit that the PBs were proposed over a decade ago103. Seven of the eight globally quantified ESBs have been crossed and at least two local ESBs in much of the world have been crossed, putting human livelihoods for current and future generations at risk. Nothing less than a just global transformation across all ESBs is required to ensure human well-being. Such transformations must be systemic across energy, food, urban and other sectors, addressing the economic, technological, political and other drivers of Earth system change, and ensure access for the poor through reductions and reallocation of resource use. All evidence suggests this will not be a linear journey; it requires a leap in our understanding of how justice, economics, technology and global cooperation can be furthered in the service of a safe and just future.

This work is an output of the Earth Commission, an independent international scientific assessment initiative hosted by Future Earth (https://earthcommission.org/). The synthesis presented here builds on recent work of the Earth Commission; other scientific literature, such as the PBs; intergovernmental reports, such as those of the IPCC; and World Health Organization guidelines. As the science component of the Global Commons Alliance (https://globalcommonsalliance.org/), the Earth Commission's theory of change includes providing our results on ESBs to the Science-Based Targets Network, the Systems Change Lab and Earth HQ.

While we acknowledge that any scientific assessment will involve some subjectivity, we have taken several steps to ensure the scientific rigour of our ESBs. (1) Our analysis is founded on a rigorous evidence base (Safe ESBs and Supplementary Methods). (2) Where possible, we determine ESBs at multiple likelihood levels (for climate change, 0.5 °C for low likelihood of passing climate tipping points, 1 °C for moderate likelihood and so on) (Table 1). (3) The nomination process for the Earth Commission and its working groups was an independent process managed by Future Earth (Ethics and inclusion statement). (4) We report the confidence in our ESB assessments (Safe ESBs and Extended Data Table 1).

We used two main groups of approaches to setting safe ESBs: a ‘multiple elements’ approach and a ‘spatial aggregation’ approach. We describe these methods here in general terms, with technical details available in Supplementary Methods. These boundaries are aimed at protecting Earth system stability and life-support systems for as many species as possible, but they may not protect all species or all humans today, as further elaborated in our justice analysis.

For climate and biosphere, we assessed critical thresholds for a range of ‘elements’ relevant to each Earth system domain through literature review and modelling.

For climate, we based our data on those found in a recent assessment of climate tipping elements16 combined with evidence on biosphere and cryosphere function and palaeoclimate variability (Supplementary Methods).

For functional integrity, we synthesized the literature on the area needed to secure local NCP, including pollination, pest and disease control, water quality regulation, soil protection, natural hazards mitigation, and physical and psychological experiences (Supplementary Methods).

For natural ecosystem area, we examined the Earth system NCP of carbon stocks, water flows and habitat for avoiding species extinction (Supplementary Methods).

From these sets of thresholds, we determined boundaries that avoid triggering climate tipping elements or maintain multiple local or Earth system NCPs at different levels of likelihood. To set the climate boundaries, we also used temperature ranges of previous Quaternary interglacials and temperature ranges that maintain biosphere and cryosphere functioning (Supplementary Methods).

For water and nutrients, we identified subglobal boundaries relevant to these systems and then converted them into global boundaries using models or simple aggregation.

For surface water flows, we used an emerging consensus in the literature to set boundaries on the alterations (increase or decrease) to local-scale surface water flows that protect freshwater ecosystems and fisheries (Supplementary Methods) and applied this to the global land surface area. While the safe alterations can be summed to a global alteration budget, to ensure aquatic ecosystem protection, the safe ESB is best implemented and interpreted according to the subglobal boundary. To derive the safe levels of monthly flow alteration volumes for all land area globally, we analysed water balance model (WBM) runs coupled with the TerraClimate dataset of monthly climate forcings (Supplementary Methods has further information).

For groundwater, our approach is based on preventing declines in local aquifer levels by setting the maximum safe average annual drawdown equal to the average annual recharge (Supplementary Methods). We estimated the annual groundwater recharge and drawdown for all land surface areas using Gravity Recovery and Climate Experiment satellite data covering the period from 2003 to 2016 coupled with data from the Global Land Data Assimilation National Oceanic and Atmospheric Administration Land Surface Model L4 v.2.1 (Supplementary Methods has more detailed information).

For nitrogen, we used three regional environmental boundaries: significant disruption to freshwater ecosystems (from total N runoff), groundwater potability (from nitrate leaching) and terrestrial ecosystems (from atmospheric N deposition due to ammonia and nitrogen oxide emissions) across wide areas based on critical concentration limits for each. We mainly relied on a recent study72 following up previous works74,104,105 that extended the approach of the original PBs27,103. This study used the Integrated Model to Assess the Global Environment (IMAGE) model to derive subglobal boundaries for critical nitrogen losses, surpluses and inputs based on critical concentrations in air and water and then aggregated these into global boundaries (Supplementary Methods has further information).

For phosphorus, we relied on recent work that used literature-derived critical concentrations for avoiding eutrophication from P runoff to estimate global boundaries for P mined input and surplus based on a global budget calculation, taking into account P recycling, human excreta, soil and sediment retention, and global nutrient rebalancing74,106.

Our approach for the safe aerosol boundaries does not fit neatly into these two categories because we used different methods for the subglobal and global boundaries. Our subglobal safe boundary uses the PB assessment of AODs that avoid tipping of regional monsoon systems. Our global assessment uses recent literature on the consequences of interhemispheric differences in aerosol concentrations on the global monsoon system (Quantifying ESBs and Supplementary Methods have further information).

As a reference for a ‘safe’ Earth climate system state, we used the interglacial Holocene epoch (that is, the state of the Earth system since the last Ice Age some 11,700 years ago107,108. The Holocene's exceptionally stable global climate system (oscillating <0.5–1 °C from the global pre-industrial 14 °C mean surface temperature)107 and its configurations of global hydrology, primary production of biomass, biogeochemical cycling and Earth system NCP were the fundamental prerequisites for human development as we know it7. We argue that only within a Holocene-like interglacial climate can Earth continue to support human well-being, subject to consumption behaviours and population size. There is no evidence that billions of humans and complex societies can thrive in other known climates, such as a glacial ice age or ‘Hothouse Earth’7.

We identified boundaries at multiple levels of likelihoods to reflect underlying scientific uncertainties and variabilities. These uncertainties included epistemic uncertainty in the boundary value for a specific Earth system process or component, such as a tipping element; variability in a boundary value across different places; and uncertainty when aggregating multiple subglobal boundaries into a global boundary. In some cases, these levels are presented with qualitative descriptors of each likelihood level; in other cases, they are presented as a central estimate with an uncertainty range, depending on the available evidence.

Some of our boundary quantifications use assessments of tipping elements since triggering tipping can endanger Earth system stability. Tipping elements commonly undergo changes that are abrupt (that is, faster than the forcing), large and difficult to reverse109, although a particular tipping element may not display all three characteristics simultaneously (for example, table 4.10 in ref. 9). We identified boundaries based on tipping elements that accelerate or lock in change in the same Earth system component or process, such as climate tipping accelerating further climate change or triggering the inevitable loss of an ice sheet, or that trigger a tipping element in another Earth system domain, such as phosphorus concentration reaching a level that triggers eutrophication and disruption of freshwater ecosystems (Table 1).

We also assessed the levels of confidence in our safe boundaries (Extended Data Table 1). ‘Confidence’ in this context can be read as ‘degree of certainty in’ or ‘confidence in the validity of’ a specific ESB quantification. We use the same scheme for assessing and communicating confidence as the IPCC110,111, which sets out two components: (1) robustness of the evidence base, judged as limited, medium or robust, considering its type, amount, quality and consistency and (2) degree of scientific agreement across the peer-reviewed literature and among the members of each Earth Commission Working Group, judged as low, medium or high. Based on these two dimensions, five qualifiers can be used to express the level of confidence in a particular ESB quantification: very low, low, medium, high and very high. This self-assessment is an expert judgement based on our understanding of the available literature.

We adopt an Earth system justice lens22 for both intrinsic and instrumental reasons. We show that some safe ESBs are not strong enough to protect humans and other species today and that we cannot achieve and live within the safe ESBs if inequality is high and resources are unjustly distributed. The evidence from behavioural experiments in public goods provision shows that perceptions of fairness significantly alter the outcomes of such experiments. In particular, individuals in disadvantageous positions insist on fairness even at the risk of large losses by doing so; such experiments suggest that climate change mitigation may not be achieved if rich countries are not perceived as pulling their weight112,113. In common pool resource experiments, rising income inequality leads to a downward spiral of resource overexploitation and scarcity114. In such experiments, viewing the problem in terms of fairness can lead to norms that motivate restraining from harvesting115. A justice analysis is all the more needed as all science emerges from the value systems that apply in that domain, although these are often not made transparent.

Within the context of our Earth system justice approach22, we use three justice criteria or the ‘3Is’: interspecies justice and Earth system stability (I1)17, intergenerational justice18 (I2) and intragenerational justice (I3). Our research into interspecies and multispecies justice reveals details regarding the scholarly approaches to these concepts, but there have been no attempts to operationalize these concepts deductively. In our research, we have combined interspecies justice with Earth system stability because Earth system instability undermines non-human species and inductively identified, through domain-specific (for example, climate, biosphere and aerosol loading) approaches, boundaries based on existing scholarship and the logic of that domain. Intergenerational justice refers to the justice between past and present generations (I2a) and between present and future generations (I2b). In general, although not always, our ESBs meet the I2b criteria because they protect future generations but not the present (I2a). Intragenerational justice (I3) combines justice between countries19, communities and individuals through an intersectional lens20. In balancing between the different justice criteria, we recognize that protecting future generations may impose many trade-offs with the use of resources today and that promoting intragenerational justice will also raise difficult issues regarding how to share resources, risks and responsibilities.

Our concept of harm derives from the justice literature and connects to the terms impact and risk used in the assessment literature. For example, IPCC defines116 risk as the potential for adverse consequences for human or ecological systems, including to lives; livelihoods; health and well-being; economic, social and cultural assets; infrastructure; services; and ecosystems. These risks are a result of exposure (the presence of people or other assets in regions of Earth system change or hazards, such as populations living near sea level) and of vulnerability (the propensity or disposition to be adversely affected, such as the poor who live in precarious homes or health status). Impact is defined by IPCC as realized risk or consequences. Our harm estimates are mostly based on exposure at different levels of Earth system change.

We recognize four caveats in the justice approach applied in this paper. (1) While staying within the just boundaries as set in this paper is crucial to avoid harm to significant sections of the human population, they are by no means guaranteeing just outcomes. Since just ends can be achieved with unjust means, meeting these boundaries without transformation could significantly harm current generations. (2) While harm to humans is caused in part by increased exposure to biophysical changes, we recognize that harm is also a function of people's social–economic vulnerability and lack of adaptive capacities. This is beyond the scope of the present paper. (3) Our high levels of aggregation preclude systematic analysis of distributional justice issues in terms of which social subgroups are most harmed under what scenarios. (4) We do not explicitly address possible trade-offs between the three justice criteria. For example, policy instruments for achieving ‘I1’ may well undermine ‘I3’ (for example, limit access to resources for marginal people). Hence, we call for redistribution, liability and compensation.

Each safe ESB has been dealt with slightly differently, with some domains looking at when the system crosses tipping points (for example, climate change), others arguing that tipping points were crossed in the past and trying to recreate boundaries that allow species and systems to function (for example, surface water) and still others taking existing constraints into account in doing so (for example, groundwater). Although the proposals from a safe (and I1) approach fulfil I2b in that they makes space for future generations of humans, they may not guarantee safety for humans today (I2a; for example, climate change; hence, we call for more stringent targets), do not address local human exposure to pollutants (for example, air pollution; hence, we complement with local standards) or may limit access to resources (hence, calling for redistribution26, liability, compensation and so on). Finally, while I2a has an explicit temporal dimension, intragenerational justice has an explicit spatial dimension and focuses on whether all people have access to minimum resources and services26; how scarce resources are divided or shared between countries, communities and people and the varied justice issues that arise per domain; how environmental risks are spread worldwide and who is most exposed (through, for example, mapping exposure and vulnerability) and how responsibilities are shared between different actors.

To calculate the population exposed to different levels of climate change (Fig. 2), we draw on literature for exposure to sea-level rise at different levels of warming, as well as our own calculations of extreme heat based on output of global models. We acknowledge that these include a limited number of the possible impacts of climate change.

Projections of sea-level rise need to account for dynamic processes of different complexity and for various spatiotemporal scales. In particular, the immediate response of several sea-level rise contributors (such as ice sheets and inland glaciers) to global warming is only marginal due to their high inertia but can be orders of magnitude higher on centennial timescales. Therefore, to draw a meaningful connection between selected temperature levels and triggered sea-level rise, recent literature117,118 has resorted to a twofold approach. The transiently realized sea-level rise throughout the twenty-first century is assessed by pooling Shared Socioeconomic Pathway and Representative Concentration Pathway scenarios by their end-of-century stabilization temperature. Those pools (for example, all scenarios that end up at 2 ± 0.25 °C) are used to drive localized models of sea-level rise, resulting in estimates for sea-level rise at 2100 for different end-of-century warming stabilization levels117,119. Additionally, these twenty-first century projections can be complemented with multi-centennial estimates since long-term sea-level rise is governed by the equilibria of the cryosphere elements and ocean thermal expansion120. In the next step, assessing exposure on these different timescales would require population projections, which are available for the twenty-first century but futile for longer timescales. For consistency, we therefore refer to a recent study that quantifies the number of people currently (baseline from that paper: 2010 population of 6.8 billion people) inhabiting land that is subject to inundation by end of this century or on a multi-centennial timescale, without accounting for potential adaptation through migration, coastal defences and so on117.

Wet bulb temperature (TW) exposure was calculated for the historical time period of 1979–2014 and the Shared Socio-Economic Pathway 2-4.5 future scenario for 2015–2100. Wet bulb temperature was calculated following the Davies-Jones121 method. Global gridded temperature and relative humidity data with a grid spacing of 1.25° × 1.25° at 6-h intervals were downloaded from a bias-corrected global dataset122 based on 18 models from the Coupled Model Intercomparison Project Phase 6 and the European Centre for Medium-Range Weather Forecasts Reanalysis 5 dataset. We aggregated the data to create a maximum daily TW dataset and then interpolated this to match the 1° × 1° grid spacing of the spatially explicit data for the 2020 population distribution (most recent available, global total 7.7 billion people) from the UN WPP-Adjusted Population Count, v.4.11 (ref. 123). We then calculated the wet bulb exposure by summing up the population count for all cells with at least 1 day with a maximum TW > 35 °C. The TW threshold of 35 °C was chosen as it is often considered to be a human physiological limit of tolerance to heat stress. The human body is unable to cool itself beyond TW = 35 °C (ref. 124,125). An average 1 day per year over this temperature per year is therefore a conservative indicator in assessing human exposure to heat stress, which does not account for annual variability. We then plotted the total number of people exposed to 1 day with a maximum TW > 35 °C in a year against the mean annual global warming associated with that year to construct an exposure–temperature response curve.

We calculate the number of people displaced from the human climate niche8 at different levels of warming, following the method of Lenton et al.41. The number of people exposed to mean annual temperatures greater than 29 °C was calculated for different global mean temperature increases under four different Shared Socio-Economic Pathways. We used the downscaled spatially explicit output from the Coupled Model Intercomparison Project phase 6 available from the WorldClim v.2.0 database at 0.0833° (approximately 10-km) resolution (available at https://worldclim.org). The exposed population is based on a 2010 population of 6.9 billion with spatial distribution as given by the History Database of the Global Environment 3.2 database126. The mean annual temperature threshold of 29 °C was chosen as it is beyond what humans have historically been exposed to8.

To calculate current subglobal ESB transgressions (Fig. 3), we use data for the above wet bulb and low-elevation coastal zones127 as proxies for climate impacts, biosphere functional integrity (Supplementary Methods), surface water and groundwater (Supplementary Methods), exceedance of local safe and just nitrogen surplus and phosphorus concentration (Supplementary Methods) and PM2.5 concentrations128. For population, we used the UN WPP-Adjusted Population Count v.4.11 (ref. 123).

There are many uncertainties and limitations in this justice analysis. Lack of sufficient data on humans, communities and countries worldwide harmed by biophysical degradation is a key constraint. There is also considerable uncertainty regarding impacts on current generations, future generations, and specific countries and communities. In this paper, we also do not quantify issues of access26, explore the implications of access for the safe and just corridor or discuss why it is difficult to meet issues of access without transforming our governance systems.

Earth Commissioners were selected by the Future Earth Advisory Committee following an open call for nominations with consideration for balancing gender, geographical region and expertise to the extent possible. Members of working groups were selected by the working group co-leads following an open call and approved by the Earth Commission, with attention paid to balancing gender, geographical region and expertise to the extent possible.

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

The data supporting Figs. 2 and 3 are available at https://doi.org/10.6084/m9.figshare.22047263.v2 and https://doi.org/10.6084/m9.figshare.20079200.v2, respectively. We rely on other published datasets for the climate boundary16, N boundary72 (model files are at https://doi.org/10.5281/zenodo.6395016), phosphorus73,74 (scenario breakdowns are at https://ora.ox.ac.uk/objects/uuid:d9676f6b-abba-48fd-8d94-cc8c0dc546a2, and a summary of agricultural sustainability indicators is at https://doi.org/10.5281/zenodo.5234594), current N surpluses129,130 (the repository at https://dataportaal.pbl.nl/downloads/IMAGE/GNM) with the critical N surplus limit72 subtracted, and estimated subglobal P concentration in runoff based on estimated P load to freshwater131 and local runoff data132,133. Current functional integrity is calculated from the European Space Agency WorldCover 10-metre-resolution land cover map (https://esa-worldcover.org/en). The safe boundary and current state for groundwater are derived from the Gravity Recovery And Climate Experiment (http://www2.csr.utexas.edu/grace/RL06_mascons.html) and the Global Land Data Assimilation System (https://disc.gsfc.nasa.gov/datacollection/GLDAS_NOAH025_3H_2.1.html). More information is available in ‘Code availability’ and Supplementary Methods. Source data for Fig. 2 are provided with this paper.

The code used to produce Figs. 2 and 3 are available at https://doi.org/10.6084/m9.figshare.22047263.v2 and https://doi.org/10.6084/m9.figshare.20079200.v2, respectively. The code used to make the nutrient Earth system boundary layers in Fig. 3 is available at https://doi.org/10.5281/zenodo.7636716. The code used to make the surface water layer in Fig. 3 and derive the subglobal Earth system boundaries for surface water is available at https://doi.org/10.5281/zenodo.7674802. The code to estimate current functional integrity is available at https://figshare.com/articles/software/integrity_analysis/22232749/2. The code to derive the groundwater layer in Fig. 3 and derive the total annual groundwater recharge is available at https://doi.org/10.5281/zenodo.7710540.

IPBES. Global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. Zenodo https://doi.org/10.5281/zenodo.5657041 (2019).

Folke, C. et al. Our future in the Anthropocene biosphere. Ambio 50, 834–869 (2021).

Article PubMed PubMed Central Google Scholar

IPCC Climate Change 2022: Impacts, Adaptation, and Vulnerability (eds Pörtner, H.-O. et al.) (Cambridge Univ. Press, 2022).

Rockström, J. et al. Identifying a safe and just corridor for people and the planet. Earth's Future 9, e2020EF001866 (2021).

Article ADS Google Scholar

Rockström, J. et al. Stockholm to Stockholm: achieving a safe Earth requires goals that incorporate a just approach. One Earth 4, 1209–1211 (2021).

Article ADS Google Scholar

Zalasiewicz, J. et al. The Working Group on the Anthropocene: summary of evidence and interim recommendations. Anthropocene 19, 55–60 (2017).

Article Google Scholar

Steffen, W. et al. Trajectories of the Earth system in the Anthropocene. Proc. Natl Acad. Sci. USA 115, 8252–8259 (2018).

Article ADS CAS PubMed PubMed Central Google Scholar

Xu, C., Kohler, T. A., Lenton, T. M., Svenning, J.-C. & Scheffer, M. Future of the human climate niche. Proc. Natl Acad. Sci. USA 117, 11350–11355 (2020).

Article ADS CAS PubMed PubMed Central Google Scholar

IPCC Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) (Cambridge Univ. Press, 2021).

UNEP Global Environment Outlook—GEO-6: Healthy Planet, Healthy People (Cambridge Univ. Press, 2019); https://doi.org/10.1017/9781108627146.

Lenton, T. M. et al. Climate tipping points—too risky to bet against. Nature 575, 592–595 (2019).

Article ADS CAS PubMed Google Scholar

UNEP Global Environment Outlook—GEO-6: Technical Summary (Cambridge Univ. Press, 2021); https://wedocs.unep.org/20.500.11822/32024.

Biermann, F., Dirth, E. & Kalfagianni, A. Planetary justice as a challenge for earth system governance: editorial. Earth System Governance 6, 100085 (2020).

Article Google Scholar

Nakicenovic, N., Rockström, J., Gaffney, O. & Zimm, C. Global Commons in the Anthropocene: World Development on a Stable and Resilient Planet. IIASA Working Paper (IIASA, 2016); http://pure.iiasa.ac.at/14003/.

Lenton, T. M. et al. Tipping elements in the Earth's climate system. Proc. Natl Acad. Sci. USA 105, 1786–1793 (2008).

Article ADS CAS PubMed PubMed Central MATH Google Scholar

Armstrong McKay, D. I. et al. Exceeding 1.5 °C global warming could trigger multiple climate tipping points. Science 377, eabn7950 (2022).

Article PubMed Google Scholar

Burke, A. & Fishel, S. in Non-Human Nature in World Politics: Theory and Practice (eds Pereira, J. C. & Saramago, A.) 33–52 (Springer International Publishing, 2020).

Meyer, L. Intergenerational justice. In The Stanford Encyclopedia of Philosophy (ed. Zalta, E. N.) (Stanford, 2021); https://plato.stanford.edu/archives/sum2021/entries/justice-intergenerational/.

Blake, M. & Smith, P. T. International distributive justice. In The Stanford Encyclopedia of Philosophy (ed. Zalta, E. N.) (Stanford, 2022); https://plato.stanford.edu/archives/sum2022/entries/international-justice/.

Norlock, K. Feminist ethics. In The Stanford Encyclopedia of Philosophy (ed. Zalta, E. N.) (Stanford, 2019); https://plato.stanford.edu/archives/sum2019/entries/feminism-ethics/.

Gupta, J. et al. Reconciling safe planetary targets and planetary justice: why should social scientists engage with planetary targets? Earth System Governance 10, 100122 (2021).

Article Google Scholar

Gupta, J. et al. Earth system justice needed to identify and live within Earth system boundaries. Nat. Sustain. https://doi.org/10.1038/s41893-023-01064-1 (2023).

Article Google Scholar

O’Neill, B. et al. in Climate Change 2022: Impacts, Adaptation, and Vulnerability (eds Pörtner, H.-O. et al.) 2411–2538 (Cambridge Univ. Press, 2022).

Gupta, J. & Schmeier, S. Future proofing the principle of no significant harm. Int. Environ. Agreem. 20, 731–747 (2020).

Article Google Scholar

Spijkers, O. The no significant harm principle and the human right to water. Int. Environ. Agreem. 20, 699–712 (2020).

Article Google Scholar

Rammelt, C. et al. Impacts of meeting minimum access on critical earth systems amidst the Great Inequality. Nat. Sustain. 6, 212–221 (2022).

Article Google Scholar

Steffen, W. et al. Planetary boundaries: guiding human development on a changing planet. Science 347, 1259855 (2015).

Article PubMed Google Scholar

Raworth, K. A doughnut for the Anthropocene: humanity's compass in the 21st century. Lancet Planet Health 1, e48–e49 (2017).

Article PubMed Google Scholar

UN GA. Transforming Our World: The 2030 Agenda for Sustainable Development General Assembly resolution 70/1 vol. A/RES/70/1 (United Nations, 2015).

van Vuuren, D. P. et al. Defining a sustainable development target space for 2030 and 2050. One Earth 5, 142–156 (2022).

Article ADS Google Scholar

Hickel, J. Is it possible to achieve a good life for all within planetary boundaries? Third World Q. 40, 18–35 (2019).

Article Google Scholar

O’Neill, D. W., Fanning, A. L., Lamb, W. F. & Steinberger, J. K. A good life for all within planetary boundaries. Nat. Sustain. 1, 88–95 (2018).

Article Google Scholar

Mace, G. M. et al. Approaches to defining a planetary boundary for biodiversity. Glob. Environ. Change 28, 289–297 (2014).

Article Google Scholar

Gleeson, T. et al. The water planetary boundary: interrogation and revision. One Earth 2, 223–234 (2020).

Article ADS Google Scholar

Zipper, S. C. et al. Integrating the water planetary boundary with water management from local to global scales. Earth's Future 8, e2019EF001377 (2020).

Article ADS PubMed PubMed Central Google Scholar

Heistermann, M. HESS opinions: a planetary boundary on freshwater use is misleading. Hydrol. Earth Syst. Sci. 21, 3455–3461 (2017).

Article ADS Google Scholar

Biermann, F. & Kim, R. E. The boundaries of the planetary boundary framework: a critical appraisal of approaches to define a ‘safe operating space’ for humanity. Annu. Rev. Environ. Resour. 45, 497–521 (2020).

Article Google Scholar

Wang-Erlandsson, L. et al. A planetary boundary for green water. Nat. Rev. Earth Environ. 3, 380–392 (2022).

Article ADS Google Scholar

Rijsberman, F. R. & Swart, R. J. (eds) Targets and Indicators of Climate Change. Report of Working Group II of the Advisory Group on Greenhouse Gases (Stockholm Environmental Institute, 1990).

Parmesan, C. et al. in Climate Change 2022: Impacts, Adaptation, and Vulnerability (eds Pörtner, H.-O. et al.) 197–377 (Cambridge Univ. Press, 2022).

Lenton, T. M. et al. Quantifying the human cost of global warming. Nat. Sustain. https://doi.org/10.1038/s41893-023-01132-6 (2023).

Article Google Scholar

Sala, E. et al. Protecting the global ocean for biodiversity, food and climate. Nature 592, 397–402 (2021).

Article ADS CAS PubMed Google Scholar

Fedele, G., Donatti, C. I., Bornacelly, I. & Hole, D. G. Nature-dependent people: mapping human direct use of nature for basic needs across the tropics. Glob. Environ. Change 71, 102368 (2021).

Article Google Scholar

Vira, B. & Kontoleon, A. in Biodiversity Conservation and Poverty Alleviation: Exploring the Evidence for a Link (eds Roe, D. et al.) 52–84 (Wiley, 2012).

Alves, R. R. N. & Rosa, I. M. L. Biodiversity, traditional medicine and public health: where do they meet? J. Ethnobiol. Ethnomed. 3, 14 (2007).

Article PubMed PubMed Central Google Scholar

Isbell, F. et al. Linking the influence and dependence of people on biodiversity across scales. Nature 546, 65–72 (2017).

Article ADS CAS PubMed PubMed Central Google Scholar

Ellis, E. C. & Mehrabi, Z. Half Earth: promises, pitfalls, and prospects of dedicating half of Earth's land to conservation. Curr. Opin. Environ. Sustain. 38, 22–30 (2019).

Article Google Scholar

Garibaldi, L. A. et al. Working landscapes need at least 20% native habitat. Conserv. Lett. 14, e12773 (2020).

Google Scholar

Rocha, J. C. Ecosystems are showing symptoms of resilience loss. Environ. Res. Lett. 17, 065013 (2022).

Article ADS Google Scholar

Obura, D. O. et al. Integrate biodiversity targets from local to global levels. Science 373, 746–748 (2021).

Article ADS CAS PubMed Google Scholar

Pascual, U. et al. Biodiversity and the challenge of pluralism. Nat. Sustain. 4, 567–572 (2021).

Article Google Scholar

Tickner, D. et al. Bending the curve of global freshwater biodiversity loss: an emergency recovery plan. Bioscience 70, 330–342 (2020).

Article PubMed PubMed Central Google Scholar

Reid, A. J. et al. Emerging threats and persistent conservation challenges for freshwater biodiversity. Biol. Rev. Camb. Philos. Soc. 94, 849–873 (2019).

Article PubMed Google Scholar

Dodds, W. K., Perkin, J. S. & Gerken, J. E. Human impact on freshwater ecosystem services: a global perspective. Environ. Sci. Technol. 47, 9061–9068 (2013).

Article ADS CAS PubMed Google Scholar

Funge-Smith, S. & Bennett, A. A fresh look at inland fisheries and their role in food security and livelihoods. Fish Fish 20, 1176–1195 (2019).

Article Google Scholar

Poff, N. L. et al. The ecological limits of hydrologic alteration (ELOHA): a new framework for developing regional environmental flow standards. Freshw. Biol. 55, 147–170 (2010).

Article Google Scholar

Liu, X. et al. Environmental flow requirements largely reshape global surface water scarcity assessment. Environ. Res. Lett. 16, 104029 (2021).

Article ADS Google Scholar

Hoekstra, A. Y., Mekonnen, M. M., Chapagain, A. K., Mathews, R. E. & Richter, B. D. Global monthly water scarcity: blue water footprints versus blue water availability. PLoS ONE 7, e32688 (2012).

Article ADS CAS PubMed PubMed Central Google Scholar

Richter, B. D., Davis, M. M., Apse, C. & Konrad, C. A presumptive standard for environmental flow protection. River Res. Appl. 28, 1312–1321 (2012).

Article Google Scholar

Rolls, R. J. & Arthington, A. H. How do low magnitudes of hydrologic alteration impact riverine fish populations and assemblage characteristics? Ecol. Indic. 39, 179–188 (2014).

Article Google Scholar

Carlisle, D. M., Wolock, D. M. & Meador, M. R. Alteration of streamflow magnitudes and potential ecological consequences: a multiregional assessment. Front. Ecol. Environ. 9, 264–270 (2010).

Article Google Scholar

Mekonnen, M. M. & Hoekstra, A. Y. Four billion people facing severe water scarcity. Sci. Adv. 2, e1500323 (2016).

Article ADS PubMed PubMed Central Google Scholar

Minderhoud, P. S. J., Middelkoop, H., Erkens, G. & Stouthamer, E. Groundwater extraction may drown mega-delta: projections of extraction-induced subsidence and elevation of the Mekong delta for the 21st century. Environ. Res. Commun. 2, 011005 (2020).

Article Google Scholar

Kath, J., Boulton, A. J., Harrison, E. T. & Dyer, F. J. A conceptual framework for ecological responses to groundwater regime alteration (FERGRA). Ecohydrol. 11, e2010 (2018).

Article Google Scholar

Döll, P., Fritsche, M., Eicker, A. & Müller Schmied, H. Seasonal water storage variations as impacted by water abstractions: comparing the output of a global hydrological model with GRACE and GPS observations. Surv. Geophys. 35, 1311–1331 (2014).

Article ADS Google Scholar

Scanlon, B. R. et al. Groundwater depletion and sustainability of irrigation in the US High Plains and Central Valley. Proc. Natl Acad. Sci. USA 109, 9320–9325 (2012).

Article ADS CAS PubMed PubMed Central Google Scholar

Prüss-Ustün, A. et al. Burden of disease from inadequate water, sanitation and hygiene for selected adverse health outcomes: an updated analysis with a focus on low- and middle-income countries. Int. J. Hyg. Environ. Health 222, 765–777 (2019).

Article PubMed PubMed Central Google Scholar

UNESCO WWAP The United Nations World Water Development Report 3: Water in a Changing World (UNESCO and Earthscan, 2009); https://unesdoc.unesco.org/ark:/48223/pf0000181993.

WHO Guidelines for Drinking-water Quality 4th edn (World Health Organization, 2022); https://www.who.int/publications/i/item/9789240045064.

Rockström, J., Lannerstad, M. & Falkenmark, M. Assessing the water challenge of a new green revolution in developing countries. Proc. Natl Acad. Sci. USA 104, 6253–6260 (2007).

Article ADS PubMed PubMed Central Google Scholar

Aldaya, M. M., Allan, J. A. & Hoekstra, A. Y. Strategic importance of green water in international crop trade. Ecol. Econ. 69, 887–894 (2010).

Article Google Scholar

Schulte-Uebbing, L. F., Beusen, A. H. W., Bouwman, A. F. & de Vries, W. From planetary to regional boundaries for agricultural nitrogen pollution. Nature 610, 507–512 (2022).

Article ADS CAS PubMed Google Scholar

Zhang, X. et al. Quantitative assessment of agricultural sustainability reveals divergent priorities among nations. One Earth 4, 1262–1277 (2021).

Article ADS Google Scholar

Springmann, M. et al. Options for keeping the food system within environmental limits. Nature 562, 519–525 (2018).

Article ADS CAS PubMed Google Scholar

Zhang, X. et al. Quantifying nutrient budgets for sustainable nutrient management. Glob. Biogeochem. Cycles 34, e2018GB006060 (2020).

Article ADS CAS Google Scholar

Cordell, D. & White, S. Life's bottleneck: sustaining the world's phosphorus for a food secure future. Annu. Rev. Environ. Resour. 39, 161–188 (2014).

Article Google Scholar

Gu, B. et al. Abating ammonia is more cost-effective than nitrogen oxides for mitigating PM2.5 air pollution. Science 374, 758–762 (2021).

Article ADS CAS PubMed Google Scholar

Ward, M. H. et al. Drinking water nitrate and human health: an updated review. Int. J. Environ. Res. Public Health 15, 1557 (2018).

Article PubMed PubMed Central Google Scholar

Tirado, R. & Allsopp, M. Phosphorus in Agriculture: Problems and Solutions. Technical report (review) (Greenpeace, 2012); https://www.greenpeace.to/greenpeace/wp-content/uploads/2012/06/tirado-and-allsopp-2012-phosphorus-in-agriculture-technical-report-02-2012.pdf.

Haywood, J. M., Jones, A., Bellouin, N. & Stephenson, D. Asymmetric forcing from stratospheric aerosols impacts Sahelian rainfall. Nat. Clim. Change 3, 660–665 (2013).

Article ADS CAS Google Scholar

Krishnamohan, K. S. & Bala, G. Sensitivity of tropical monsoon precipitation to the latitude of stratospheric aerosol injections. Clim. Dyn. 59, 151–168 (2022).

Article Google Scholar

Liu, F. et al. Global monsoon precipitation responses to large volcanic eruptions. Sci. Rep. 6, 24331 (2016).

Article ADS CAS PubMed PubMed Central Google Scholar

Zuo, M., Zhou, T. & Man, W. Hydroclimate responses over global monsoon regions following volcanic eruptions at different latitudes. J. Clim. 32, 4367–4385 (2019).

Article ADS Google Scholar

Douville, H. et al. in Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) 1055–1210 (Cambridge Univ. Press, 2021).

Visioni, D. et al. Seasonally modulated stratospheric aerosol geoengineering alters the climate outcomes. Geophys. Res. Lett. 47, e2020GL088337 (2020).

Article ADS Google Scholar

Zhao, M., Cao, L., Bala, G. & Duan, L. Climate response to latitudinal and altitudinal distribution of stratospheric sulfate aerosols. J. Geophys. Res. 126, e2021JD035379 (2021).

Article ADS Google Scholar

Vogel, A. et al. Uncertainty in aerosol optical depth from modern aerosol‐climate models, reanalyses, and satellite products. J. Geophys. Res. 127, e2021JD035483 (2022).

Article ADS Google Scholar

WHO Global Air Quality Guidelines: Particulate Matter (PM2.5 and PM10), Ozone, Nitrogen Dioxide, Sulfur Dioxide and Carbon Monoxide (WHO, 2021); https://apps.who.int/iris/handle/10665/345329.

Cohen, A. J. et al. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015. Lancet 389, 1907–1918 (2017).

Article PubMed PubMed Central Google Scholar

EPA. Review of the national ambient air quality standards for particulate matter. Environmental Protection Agency. 40 CFR Part 50. Fed. Regis. Rules Regul. 85, 82684–82748 (2020).

Google Scholar

European Commission. Air quality standards https://ec.europa.eu/environment/air/quality/standards.htm (2020).

Shaddick, G. et al. Data integration for the assessment of population exposure to ambient air pollution for global burden of disease assessment. Environ. Sci. Technol. 52, 9069–9078 (2018).

Article ADS CAS PubMed Google Scholar

Rao, N. D., Kiesewetter, G., Min, J., Pachauri, S. & Wagner, F. Household contributions to and impacts from air pollution in India. Nat. Sustain. 4, 859–867 (2021).

Article Google Scholar

Rao, S. et al. Future air pollution in the shared socio-economic pathways. Glob. Environ. Change 42, 346–358 (2017).

Article Google Scholar

van Donkelaar, A., Martin, R. V. & Park, R. J. Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing. J. Geophys. Res. 111, D21201 (2006).

Article ADS Google Scholar

Gupta, P. et al. Satellite remote sensing of particulate matter and air quality assessment over global cities. Atmos. Environ. 40, 5880–5892 (2006).

Article ADS CAS Google Scholar

Persson, L. et al. Outside the safe operating space of the planetary boundary for novel entities. Environ. Sci. Technol. 56, 1510–1521 (2022).

Article ADS CAS PubMed PubMed Central Google Scholar

Naidu, R. et al. Chemical pollution: a growing peril and potential catastrophic risk to humanity. Environ. Int. 156, 106616 (2021).

Article CAS PubMed Google Scholar

Bai, X. et al. How to stop cities and companies causing planetary harm. Nature 609, 463–466 (2022).

Article ADS CAS PubMed Google Scholar

Companies taking action. Science Based Targets https://sciencebasedtargets.org/companies-taking-action (2022).

Technical guidance for step 1: assess and step 2: prioritize. Draft for public comment (September 2022). Science Based Targets Network https://sciencebasedtargetsnetwork.org/wp-content/uploads/2022/09/Technical-Guidance-for-Step-1-Assess-and-Step-2-Prioritize.pdf (2022).

Resources for public consultation on technical guidance for companies. Science Based Targets Network https://sciencebasedtargetsnetwork.org/resources/public-consultation-resources/ (2022).

Rockström, J. et al. A safe operating space for humanity. Nature 461, 472–475 (2009).

Article ADS PubMed Google Scholar

de Vries, W., Schulte-Uebbing, L., Kros, H., Voogd, J. C. & Louwagie, G. Spatially explicit boundaries for agricultural nitrogen inputs in the European Union to meet air and water quality targets. Sci. Total Environ. 786, 147283 (2021).

Article ADS PubMed Google Scholar

Schulte-Uebbing, L. & de Vries, W. Reconciling food production and environmental boundaries for nitrogen in the European Union. Sci. Total Environ. 786, 147427 (2021).

Article ADS CAS Google Scholar

Zhang, X. et al. Quantification of global and national nitrogen budgets for crop production. Nat. Food 2, 529–540 (2021).

Article PubMed Google Scholar

Osman, M. B. et al. Globally resolved surface temperatures since the Last Glacial Maximum. Nature 599, 239–244 (2021).

Article ADS CAS PubMed Google Scholar

Kaufman, D. et al. Holocene global mean surface temperature, a multi-method reconstruction approach. Sci. Data 7, 201 (2020).

Article CAS PubMed PubMed Central Google Scholar

Biggs, R. et al. in Encyclopedia of Theoretical Ecology (eds Hastings, A. & Gross, L.) 609–617 (Univ. of California Press, 2012).

Reisinger, A. et al. The Concept of Risk in the IPCC Sixth Assessment Report: a Summary of Cross-working Group Discussions (IPCC, 2020); https://www.ipcc.ch/site/assets/uploads/2021/02/Risk-guidance-FINAL_15Feb2021.pdf.

Mastrandrea, M. D. et al. Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties (IPCC, 2010); https://www.ipcc.ch/site/assets/uploads/2017/08/AR5_Uncertainty_Guidance_Note.pdf.

Gampfer, R. Do individuals care about fairness in burden sharing for climate change mitigation? Evidence from a lab experiment. Clim. Change 124, 65–77 (2014).

Article ADS Google Scholar

Marotzke, J., Semmann, D. & Milinski, M. The economic interaction between climate change mitigation, climate migration and poverty. Nat. Clim. Change 10, 518–525 (2020).

Article ADS Google Scholar

Owusu, K. A., Kulesz, M. M. & Merico, A. Extraction behaviour and income inequalities resulting from a common pool resource exploitation. Sustain. Sci. Pract. Policy 11, 536 (2019).

Google Scholar

Liebrand, W. B. G., Jansen, R. W. T. L., Rijken, V. M. & Suhre, C. J. M. Might over morality: social values and the perception of other players in experimental games. J. Exp. Soc. Psychol. 22, 203–215 (1986).

Article Google Scholar

IPCC Climate Change 2022: Impacts, Adaptation, and Vulnerability (eds Pörtner, H.-O. et al.) (Cambridge Univ. Press, 2022).

Strauss, B. H., Kulp, S. A., Rasmussen, D. J. & Levermann, A. Unprecedented threats to cities from multi-century sea level rise. Environ. Res. Lett. 16, 114015 (2021).

Article ADS Google Scholar

Fox-Kemper, B. et al. in Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) 1211–1362 (Cambridge Univ. Press, 2021).

Rasmussen, D. J. et al. Extreme sea level implications of 1.5 °C, 2.0 °C, and 2.5 °C temperature stabilization targets in the 21st and 22nd centuries. Environ. Res. Lett. 13, 034040 (2018).

Article ADS Google Scholar

Levermann, A. et al. The multimillennial sea-level commitment of global warming. Proc. Natl Acad. Sci. USA 110, 13745–13750 (2013).

Article ADS CAS PubMed PubMed Central Google Scholar

Davies-Jones, R. An efficient and accurate method for computing the wet-bulb temperature along pseudoadiabats. Mon. Weather Rev. 136, 2764–2785 (2008).

Article ADS Google Scholar

Xu, Z., Han, Y., Tam, C.-Y., Yang, Z.-L. & Fu, C. Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979–2100). Sci. Data 8, 293 (2021).

Article CAS PubMed PubMed Central Google Scholar

CIESIN. Gridded population of the world, version 4 (GPWv4): population count adjusted to match 2015 revision of UN WPP country totals, revision 11. Center for International Earth Science Information Network, Columbia Univ. https://doi.org/10.7927/H4PN93PB (2018).

Im, E.-S., Pal, J. S. & Eltahir, E. A. B. Deadly heat waves projected in the densely populated agricultural regions of South Asia. Sci. Adv. 3, e1603322 (2017).

Article ADS PubMed PubMed Central Google Scholar

Shaw, R. et al. in Climate Change 2022: Impacts, Adaptation, and Vulnerability (eds Pörtner, H.-O. et al.) 1457–1579 (Cambridge Univ. Press, 2022).

Klein Goldewijk, K., Beusen, A., Doelman, J. & Stehfest, E. Anthropogenic land use estimates for the Holocene–HYDE 3.2. Earth Syst. Monit. 9, 927–953 (2017).

ADS Google Scholar

CIESIN-CIDR. Low elevation coastal zone (LECZ) urban-rural population and land area estimates, version 3. Columbia Univ. and CUNY Institute for Demographic Research, City Univ. of New York https://doi.org/10.7927/d1x1-d702 (2021).

van Donkelaar, A. et al. Monthly global estimates of fine particulate matter and their uncertainty. Environ. Sci. Technol. 55, 15287–15300 (2021).

Article ADS PubMed Google Scholar

Beusen, A. H. W., Van Beek, L. P. H., Bouwman, A. F., Mogollón, J. M. & Middelburg, J. J. Coupling global models for hydrology and nutrient loading to simulate nitrogen and phosphorus retention in surface water—description of IMAGE–GNM and analysis of performance. Geosci. Model Dev. 8, 4045–4067 (2015).

Article ADS CAS Google Scholar

Beusen, A. H. W. et al. Exploring river nitrogen and phosphorus loading and export to global coastal waters in the shared socio-economic pathways. Glob. Environ. Change 72, 102426 (2022).

Article Google Scholar

Mekonnen, M. M. & Hoekstra, A. Y. Global anthropogenic phosphorus loads to freshwater and associated grey water footprints and water pollution levels: a high‐resolution global study. Water Resour. Res. 54, 345–358 (2018).

Article ADS CAS Google Scholar

Fekete, B. M., Vörösmarty, C. J. & Lammers, R. B. Scaling gridded river networks for macroscale hydrology: development, analysis, and control of error. Water Resour. Res. 37, 1955–1967 (2001).

Article ADS Google Scholar

Wisser, D., Fekete, B. M., Vörösmarty, C. J. & Schumann, A. H. Reconstructing 20th century global hydrography: a contribution to the Global Terrestrial Network Hydrology (GTN-H). Hydrol. Earth Syst. Sci. 14, 1–24 (2010).

Article ADS Google Scholar

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This work is part of the Earth Commission, which is hosted by Future Earth and is the science component of the Global Commons Alliance. The Global Commons Alliance is a sponsored project of Rockefeller Philanthropy Advisors, with support from the Oak Foundation, MAVA, Porticus, the Gordon and Betty Moore Foundation, the Tiina and Antti Herlin Foundation, William and Flora Hewlett Foundation and the Global Environment Facility. The Earth Commission is also supported by the Global Challenges Foundation and the Frontiers Research Foundation. Individual researchers were supported by the European Research Council (Grant on Climate Change and Fossil Fuel 101020082 to J.G. and Advanced Grant grant ERC-2016-ADG 743080 to J. Rockström), the Open Society Foundations (J.F.A. and T.M.L.), the Australian Government (Australian Research Council Future Fellowship FT200100381 to S.J.L. and Australian Research Council Discovery Early Career Researcher Award DE230101327 to C.N.) and the Swedish Research Council Formas (Grant 2020-00371 to S.J.L.).

Open access funding provided by Stockholm University.

Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany

Johan Rockström, Lauren S. Andersen, Sina Loriani, Boris Sakschewski & Ricarda Winkelmann

Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany

Johan Rockström

Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden

Johan Rockström, Steven J. Lade, David I. Armstrong McKay, Daniel Ciobanu & Juan Rocha

Amsterdam Institute for Social Science Research, University of Amsterdam, Amsterdam, The Netherlands

Joyeeta Gupta, Klaudia Prodani, Crelis Rammelt & Joeri Scholtens

IHE Delft Institute for Water Education, Delft, The Netherlands

Joyeeta Gupta

State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China

Dahe Qin & Cunde Xiao

China Meteorological Administration, Beijing, China

Dahe Qin & Xinwu Xu

University of Chinese Academy of Sciences, Beijing, China

Dahe Qin & Xinwu Xu

Future Earth Secretariat, Stockholm, Sweden

Steven J. Lade, Daniel Ospina, Wendy Broadgate, Lisa Jacobson, Simona Pedde & Juan Rocha

Fenner School of Environment & Society, Australian National University, Canberra, Australia

Steven J. Lade & Xuemei Bai

Global Systems Institute, University of Exeter, Exeter, UK

Jesse F. Abrams, David I. Armstrong McKay & Timothy M. Lenton

Georesilience Analytics, Leatherhead, UK

David I. Armstrong McKay

Center for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bengaluru, India

Govindasamy Bala

Australian Rivers Institute, Griffith University, Brisbane, Australia

Stuart E. Bunn, Syezlin Hasan, Ben Stewart-Koster & Christopher Ndehedehe

EAT, Oslo, Norway

Fabrice DeClerck

Alliance of Bioversity International and CIAT of the CGIAR, Montpellier, France

Fabrice DeClerck

Center for Health & the Global Environment, University of Washington, Seattle, WA, USA

Kristie Ebi

School of Geography, Development and Environment, University of Arizona, Tucson, AZ, USA

Lauren Gifford & Diana M. Liverman

Institute for Environment and Sanitation Studies, University of Ghana, Legon, Ghana

Christopher Gordon

Graduate School of Media and Governance, Keio University, Fujisawa, Japan

Norichika Kanie

Functional Forest Ecology, Universität Hamburg, Barsbüttel, Germany

Awaz Mohamed

International Institute for Applied Systems Analysis, Laxenburg, Austria

Nebojsa Nakicenovic & Caroline Zimm

CORDIO East Africa, Mombasa, Kenya

David Obura

Interdisciplinary Center for Water Research, Indian Institute of Science, Bengaluru, India

Thejna Tharammal

Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands

Detlef van Vuuren & Lena Schulte-Uebbing

PBL Netherlands Environmental Assessment Agency, The Hague, The Netherlands

Detlef van Vuuren

Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland

Peter H. Verburg

Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

Peter H. Verburg

Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany

Ricarda Winkelmann

Bieler School of Environment, McGill University, Montreal, Canada

Elena M. Bennett

Department of Natural Resource Sciences, McGill University, Montreal, Canada

Elena M. Bennett

Center for Environmental Systems Research, Kassel University, Kassel, Germany

Stefan Bringezu

Environmental Sciences Initiative, Advanced Science Research Center at the Graduate Center, City University of New York, New York, NY, USA

Pamela A. Green

National Climate Center, Beijing, China

Lei Huang

School of Environment & Science, Griffith University, Nathan, Australia

Christopher Ndehedehe

Soil Geography and Landscape Group, Wageningen University & Research, Wageningen, The Netherlands

Simona Pedde

Department of Environmental Sciences, Wageningen University & Research, Wageningen, The Netherlands

Marten Scheffer

Environmental Systems Analysis Group, Wageningen University & Research, Wageningen, The Netherlands

Lena Schulte-Uebbing & Wim de Vries

State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China

Cunde Xiao

School of Life Sciences, Nanjing University, Nanjing, China

Chi Xu

Basque Centre for Climate Change bc3, Scientific Campus of the University of the Basque Country, Biscay, Spain

Noelia Zafra-Calvo

Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, USA

Xin Zhang

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J. Rockström, J.G., D.Q., X.B., G.B., S.E.B., F.D., K.E., C.G., N.K., T.M.L., D.M.L., N.N., D. Obura, D.v.V., P.H.V. and R.W. conceptualized the work. J.F.A., L.S.A., D.I.A.M., D.C., L.G., S.H., T.M.L., S.L., A.M., D. Ospina, K.P., C.R., B.S., J.S., B.S.-K., T.T., C.Z., E.M.B., S.B., W.B., P.G., L.H., L.J., C.N., S.P., J. Rocha, M.S., L.S.-U., W.d.V., C. Xiao, C. Xu, X.X., N.Z.-C. and X.Z. gathered and analysed data. J. Rockström, J.G., D.Q., S.J.L., X.B., G.B., S.E.B., F.D., K.E., C.G., N.K., T.M.L., D.M.L., N.N., D. Obura, D.v.V., P.H.V., R.W., J.F.A., L.S.A., D.I.A.M., D.C., L.G., S.H., S.L., A.M., D. Ospina, K.P., C.R., B.S., J.S., B.S.-K., T.T., C.Z., E.M.B., P.G., C.N., L.S.-U., W.d.V. and X.Z. wrote the paper. S.J.L. coordinated writing.

Correspondence to Johan Rockström or Steven J. Lade.

The authors declare no competing interests.

Nature thanks Stephen Humphreys, Thomas Nesme, Henrique Pereira and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

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Concentric (a) and parallel (b) visualizations of global (a, inner circle; b, left circle) and sub-global (a, outer circle; b, right circle) safe and just ESBs. Colours are as in Fig. 1. Global rings (a, inner circle; b, left circle) show current global states; a single current state cannot be defined sub-globally. Short concentric lines (that extend across less than the full width of a wedge) represent alternative likelihood levels (safe) or levels of exposure (just NSH) (Table 1).

Supplementary Methods, Figs. 1–3 and Tables 1–11.

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Rockström, J., Gupta, J., Qin, D. et al. Safe and just Earth system boundaries. Nature (2023). https://doi.org/10.1038/s41586-023-06083-8

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Received: 23 June 2022

Accepted: 14 April 2023

Published: 31 May 2023

DOI: https://doi.org/10.1038/s41586-023-06083-8

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